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Value Engineering & Product Optimization

Value Engineering and Product Optimization

Overview

In the sustenance context, product optimization relates to products in their maturity phase. This means that the product is operating in a business scenario where it has reached market saturation and is seeing decreasing growth rates. Hence, in this environment, the goal of product optimization is to maintain market share, enhance profitability, and prolong the product’s relevance.

Along with this, there is also a focus on optimizing the product’s cost efficiency, achieved through value engineering. The idea behind value engineering is to enhance the functionality or value of mature products. It involves refining or repurposing existing features to deliver better value without impacting costs.

Expertise

HSC helps its clients enhance the longevity, performance, and cost-efficiency of their mature products, with a focus on reducing total cost of ownership. HSC has performed multiple platform migrations from legacy systems to modern, cloud-native architectures, reducing OPEX costs.

Services

These services assist clients in prolonging the life of their products, ensuring sustained value and market relevance.

Product Augmentations & Feature Extensions:

In the maturity phase, adding functionality, integrations, or new features can breathe new life into mature products. Few examples include advanced analytics capabilities, UI/UX improvements, and new integrations with emerging technologies.

Technology Enhancement:

These enhancements focus on mitigating the risks with outdated systems, while ensuring efficiency and a seamless customer experience. This could include framework upgrades, software updates, or new technologies that bring performance and security gains.

Product Customization:

This involves customizing the offerings as per specifications to meet business goals. These efforts could be targeted towards different target markets with their own set of regulations and compliances.

Platform Development:

Developing scalable and modular platforms which can evolve with changing needs or market dynamics. Investing in robust platform development can enable new integrations without extensive re-engineering.

Cost Optimization:

These include the efforts needed to reduce OPEX, which can be achieved through enhanced reliability, or better performance. With a focus on refining processes and efficiency as ongoing activities, mature products can be kept relevant while freeing up resources for newer innovations.

Use Cases

Networks: Telecom companies have ongoing activities to optimize the performance of their network infrastructure. They need to balance the development of new, scalable network functions while reducing the costs of operating legacy systems.

IoT: Firms can optimize IoT platforms by adding new features, such as real-time data processing or AI/ML integrations for predictive maintenance. On the efficiency front, product optimization can deliver better utilization and reduced downtime.

Retail: By moving to a cloud-based microservices architecture, retailers can scale operations efficiently while lowering OPEX. By re-engineering the backend infrastructure, companies can optimize costs related to data management, inventory tracking, and customer transactions.

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